Career Advancement
With our advanced curriculum that focuses on professional and personal growth, students are better prepared to compete and advance their careers.
Autumn
(May - Oct)
/ Semester 1
Module: CC7178
Credits: 20
This module aims to provide students with an appreciation of the benefits Cybersecurity Management provides within a business environment and over cyberspace. This includes the choice and application of appropriate risk assessment and risk control techniques, the understanding of security standards & procedures, coupled with the application of cybersecurity technology & security measures in a business setting.
Module: CC7169
Credits: 20
The module provides an understanding of project management in the context of software development. Students will gain an overview of a standard project management method (e.g. Prince 2); an understanding of the software development process and overview of a variety of specific system/software development methods; knowledge of a range of planning techniques; basic skills in financial evaluation; an understanding of team management issues
Spring
(Nov - Feb)
/ Semester 2
Module: CS7079
Credits: 20
This module develops knowledge and practical skills in designing data warehouses and managing large-scale data. Students explore data integration, big data technologies, architectures, and techniques for transforming organisational data into valuable information.
Module: CC7182
Credits: 20
This module develops programming and analytical skills for working with real-world data. Students learn to clean, process, analyse, and visualise data to generate meaningful insights and support informed decision-making.
Autumn
(May - Oct)
/ Semester 3
Module: CC7183
Credits: 20
This module develops advanced skills in analysing, interpreting, and presenting complex data. Students apply analytical and visualisation techniques to discover patterns, communicate insights, and support data-driven decision-making.
Module: CC7184
Credits: 20
This module explores advanced techniques for discovering patterns and knowledge from large datasets. Students apply data mining and machine learning methods to classification, prediction, clustering, and real-world analytical problems.
Spring
(Nov - Feb)
/ Semester 4 & 5
Module: CT7P01
Credits: 60
This module provides students with the opportunity to undertake a substantial independent project within their chosen area of specialisation. Students apply advanced research, technical, analytical, and project management skills to investigate a significant problem, develop and evaluate an appropriate solution, and professionally communicate their findings.
The MSc IT with specialisation in Data Analytics equips professionals to unlock the potential of data for strategic decision-making, driving innovation and business growth. It offers specialised learning in advanced statistical modelling, data visualisation, and big data technologies, ensuring mastery of essential tools and techniques for modern data analysis.
With a strong emphasis on leadership skills, the curriculum focuses on translating complex data insights into actionable business strategies, preparing graduates for senior analytics roles. Through hands-on industry-centric projects, students gain practical experience solving real-world problems using tools like Python, R, and Tableau.
The programme also covers key technologies such as Matplotlib, Seaborn, and Plotly for data visualisation; Hadoop and Apache Spark for big data processing; R and Python libraries (Pandas, NumPy, Scikit-learn) for statistical analysis; and databases like MySQL, PostgreSQL, and MongoDB, ensuring a well-rounded expertise in the field.
*The full course is delivered by Islington College in direct partnership with London Metropolitan University.
A complete bachelor’s degree with a minimum of 2.2 CGPA or equivalent.
Students may complete 2 years of work experience during their studies.
Students should have completed their higher secondary and previous higher education (e.g. bachelor’s degree) where the medium of instruction and assessment is in English.
With our advanced curriculum that focuses on professional and personal growth, students are better prepared to compete and advance their careers.
With our expansive alumni network, international degree, and valuable experience, students can stay competitive and pursue opportunities with leading employers worldwide.
With our partnership with London Metropolitan University and our teaching methods, students stand a higher chance of securing better job opportunities.